This dataset was created by Deeksha3@
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Kaggle Datasets For Traffic is a dataset for object detection tasks - it contains Traffic Sign annotations for 8,122 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
This dataset was created by Rawan1652002
This dataset was created by Omar Mohamed
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
EN: Kyrgyz language hand-written letters (kyrgyz MNIST)
A repository of images (in CSV format) of hand-written Kyrgyz alphabet letters for machine learning applications. Original images have been transformed to 50x50 images and after to csv format. The repository currently consists of 80213 (50x50 pixel) images representing all 36 letters of the Kyrgyz alphabet These images have been hand-written.
Kaggle competition:
For those who want to compete in Kaggle, HERE… See the full description on the dataset page: https://huggingface.co/datasets/the-cramer-project/kyrgyz_MNIST.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The BDG2 open data set consists of 3,053 energy meters from 1,636 non-residential buildings with a range of two full years (2016 and 2017) at an hourly frequency (17,544 measurements per meter resulting in approximately 53.6 million measurements). These meters are collected from 19 sites across North America and Europe, and they measure electrical, heating and cooling water, steam, and solar energy as well as water and irrigation meters. Part of these data was used in the Great Energy Predictor III (GEPIII) competition hosted by the ASHRAE organization in October-December 2019. This subset includes data from 2,380 meters from 1,448 buildings that were used in the GEPIII, a machine learning competition for long-term prediction with an application to measurement and verification. This paper describes the process of data collection, cleaning, and convergence of time-series meter data, the meta-data about the buildings, and complementary weather data. This data set can be used for further prediction benchmarking and prototyping as well as anomaly detection, energy analysis, and building type classification.
This dataset was created by Shreyak Silwal
Released under Other (specified in description)
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
## Overview
Damaged Roads Alvaro Basily Kaggle is a dataset for object detection tasks - it contains Damaged Roads annotations for 3,321 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [Public Domain license](https://creativecommons.org/licenses/Public Domain).
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
## Overview
Dataset RDD Kaggle is a dataset for object detection tasks - it contains Pothole annotations for 3,929 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [MIT license](https://creativecommons.org/licenses/MIT).
The Bike Purchasing Dataset I cleaned, filtered, and visualized examined bike purchases made by customers. The dataset included details of the customers, including marital status, gender, income, age, commute distance, region and whether or not if they made a bike purchase.
Here is a link to the data source on Github: https://github.com/AlexTheAnalyst/Excel-Tutorial/blob/main/Excel%20Project%20Dataset.xlsx
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Fireplace Kaggle is a dataset for object detection tasks - it contains Fireplace annotations for 720 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Kaggle Gun is a dataset for object detection tasks - it contains Gun annotations for 435 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Cacao Detection And Ripeness V03 Kaggle Only is a dataset for object detection tasks - it contains Cacao annotations for 476 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
License information was derived automatically
This dataset includes procurement tender notices for World Bank financed projects. For the official procurement notices API go to http://search.worldbank.org/api/procnotices
Learn more about the World Bank Group's operations in procurement at https://step.worldbank.org
This dataset was created by kspatel
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The annotation files were adjusted to conform to the YOLO Keras TXT format prior to upload, as the original format did not include a label map file.
v1
contains the original imported images, without augmentations. This is the version to download and import to your own project if you'd like to add your own augmentations.
v2
contains an augmented version of the dataset, with annotations. This version of the project was trained with Roboflow's "FAST" model.
v3
contains an augmented version of the dataset, with annotations. This version of the project was trained with Roboflow's "ACCURATE" model.
This dataset was created by Dhruv Anurag
This dataset was created by dataset3456
This dataset was created by Sarah Shuman 2
This dataset was created by Chayan Pandit
This dataset was created by Deeksha3@